The Design and Implementation of a KNN-Based Dating Mobile Application

In this paper, we designed software which is short for "Looking for partners". It is a kind of social media software. The majority users of the software are the college students. The novelty of this software lays in the personal interests-based friends match patterns when a user wants to add friends. The software also could support both online and offline communications with achieving the purpose to enrich the users' extracurricular activities. In order to increase the accuracy of the friend-matching function, we compared carefully among the classification algorithms and found that the "K-nearest-neighbor" is the easiest algorithms to incorporate into the project with considerable performance.